Artem B. Mamonov

1.3k total citations
26 papers, 814 citations indexed

About

Artem B. Mamonov is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Artem B. Mamonov has authored 26 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Spectroscopy and 8 papers in Materials Chemistry. Recurrent topics in Artem B. Mamonov's work include Protein Structure and Dynamics (13 papers), Mass Spectrometry Techniques and Applications (8 papers) and Machine Learning in Materials Science (5 papers). Artem B. Mamonov is often cited by papers focused on Protein Structure and Dynamics (13 papers), Mass Spectrometry Techniques and Applications (8 papers) and Machine Learning in Materials Science (5 papers). Artem B. Mamonov collaborates with scholars based in United States, Russia and Malaysia. Artem B. Mamonov's co-authors include Rob D. Coalson, Maria G. Kurnikova, Jayashree Kalpathy–Cramer, Abraham Nitzan, Daniel M. Zuckerman, Hans Henrik Thodberg, Bradley J. Erickson, Lucas Pereira, Mark Cicero and Rafael T. Sousa and has published in prestigious journals such as The Journal of Physical Chemistry B, Biochemistry and Radiology.

In The Last Decade

Artem B. Mamonov

26 papers receiving 798 citations

Peers

Countries citing papers authored by Artem B. Mamonov

Since Specialization

Citations

This map shows the geographic impact of Artem B. Mamonov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Artem B. Mamonov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artem B. Mamonov more than expected).

Fields of papers citing papers by Artem B. Mamonov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Artem B. Mamonov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Artem B. Mamonov. The network helps show where Artem B. Mamonov may publish in the future.

Co-authorship network of co-authors of Artem B. Mamonov

This figure shows the co-authorship network connecting the top 25 collaborators of Artem B. Mamonov. A scholar is included among the top collaborators of Artem B. Mamonov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Artem B. Mamonov. Artem B. Mamonov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Ab initio calculation of multilayer magnetic structures by VASP on OpenPOWER high performance system 2019 ·Journal of Physics Conference Series ·(unknown), (unknown), П. В. Прудников, (unknown), Artem B. Mamonov, А. А. Сорокин, (unknown)	1
2	The RSNA Pediatric Bone Age Machine Learning Challenge 2018 ·Radiology ·Safwan S. Halabi, Luciano M. Prevedello, Jayashree Kalpathy–Cramer, Artem B. Mamonov, Alexander Bilbily, Mark Cicero, Ian Pan, Lucas Pereira, Rafael T. Sousa, Nitamar Abdala, Felipe Kitamura, Hans Henrik Thodberg, Leon Chen, George Shih, Katherine P. Andriole, Marc Kohli, Bradley J. Erickson, Adam E. Flanders	283
3	PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images 2018 ·Journal of Medical Imaging ·Samuel G. Armato, Henkjan Huisman, Karen Drukker, Lubomir M. Hadjiiski, Justin Kirby, Nicholas Petrick, George Redmond, Maryellen L. Giger, H. Kenny, Artem B. Mamonov, Jayashree Kalpathy–Cramer, Keyvan Farahani	126
4	Protein–ligand docking using FFT based sampling: D3R case study 2017 ·Journal of Computer-Aided Molecular Design ·Dzmitry Padhorny, David R. Hall, (unknown), Artem B. Mamonov, Mohammad Naser‐Moghadasi, Andrey Alekseenko, Dmitri Beglov, Dima Kozakov	11
5	Report on the Cloud-Based Evaluation Approaches Workshop 2015 2016 ·ACM SIGIR Forum ·Henning Müller, Jayashree Kalpathy–Cramer, Allan Hanbury, Keyvan Farahani, (unknown), (unknown), Arno Klein, Antonio Criminisi, Andrew D. Trister, Thea Norman, David P. Kennedy, (unknown), Artem B. Mamonov, (unknown)	4
6	Focused grid‐based resampling for protein docking and mapping 2016 ·Journal of Computational Chemistry ·Artem B. Mamonov, Mohammad Naser‐Moghadasi, (unknown), (unknown), Laurie E. Grove, Tanggis Bohnuud, Pirooz Vakili, Ioannis Ch. Paschalidis, Sándor Vajda, Dima Kozakov	7
7	The Impact of Side-Chain Packing on Protein Docking Refinement 2015 ·Journal of Chemical Information and Modeling ·Mohammad Naser‐Moghadasi, (unknown), Artem B. Mamonov, Pirooz Vakili, Sándor Vajda, Ioannis Ch. Paschalidis, Dima Kozakov	14
8	A message passing approach to Side Chain Positioning with applications in protein docking refinement 2012 ·PubMed ·Mohammad Naser‐Moghadasi, Dima Kozakov, Artem B. Mamonov, Pirooz Vakili, Sándor Vajda, Ioannis Ch. Paschalidis	3
9	Tunable, Mixed-Resolution Modeling Using Library-Based Monte Carlo and Graphics Processing Units 2012 ·Journal of Chemical Theory and Computation ·Artem B. Mamonov, Steven Lettieri, (unknown), (unknown), (unknown), Timothy F. Cunningham, Sunil Saxena, Daniel M. Zuckerman	9
10	Thermal Motions of the E. coli Glucose-Galactose Binding Protein Studied Using Well-Sampled Semi-Atomistic Simulations 2011 ·Current Topics in Medicinal Chemistry ·Derek J. Cashman, Artem B. Mamonov, (unknown), Daniel M. Zuckerman	3
11	Extending Fragment Based Free Energy Calculations with Library Based Monte Carlo Simulation: Annealing in Interaction Space 2011 ·Biophysical Journal ·Steven Lettieri, Artem B. Mamonov, Daniel M. Zuckerman	1
12	Efficient Equilibrium Sampling of All-Atom Peptides using Library-Based Monte Carlo 2010 ·Biophysical Journal ·(unknown), Artem B. Mamonov, Daniel M. Zuckerman	1
13	Rapid sampling of all‐atom peptides using a library‐based polymer‐growth approach 2010 ·Journal of Computational Chemistry ·Artem B. Mamonov, Xin Zhang, Daniel M. Zuckerman	3
14	Extending fragment‐based free energy calculations with library monte carlo simulation: Annealing in interaction space 2010 ·Journal of Computational Chemistry ·Steven Lettieri, Artem B. Mamonov, Daniel M. Zuckerman	8
15	Efficient Equilibrium Sampling of All-Atom Peptides Using Library-Based Monte Carlo 2010 ·The Journal of Physical Chemistry B ·(unknown), Artem B. Mamonov, Daniel M. Zuckerman	8
16	Rapid equilibrium sampling of all-atom peptides using a library-based polymer-growth approach 2009 ·arXiv (Cornell University) ·Artem B. Mamonov, (unknown), Daniel M. Zuckerman	1
17	Thermal Motions of the E. Coli Glucose-Galactose Binding Protein Studied Using Well-Sampled “Semi-Atomistic” Simulations 2009 ·Biophysical Journal ·Derek J. Cashman, Artem B. Mamonov, Divesh Bhatt, Daniel M. Zuckerman	1
18	Absolute free energies estimated by combining precalculated molecular fragment libraries 2009 ·Journal of Computational Chemistry ·Xin Zhang, Artem B. Mamonov, Daniel M. Zuckerman	12
19	General Library-Based Monte Carlo Technique Enables Equilibrium Sampling of Semi-atomistic Protein Models 2009 ·The Journal of Physical Chemistry B ·Artem B. Mamonov, Divesh Bhatt, Derek J. Cashman, (unknown), Daniel M. Zuckerman	25
20	The Role of the Dielectric Barrier in Narrow Biological Channels: A Novel Composite Approach to Modeling Single-Channel Currents 2003 ·Biophysical Journal ·Artem B. Mamonov, Rob D. Coalson, Abraham Nitzan, Maria G. Kurnikova	99

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact